New Ontology structure for intelligent controlling of traffic signals
Mahmud Abdulla Mohammad, Kamaran H. Manguri, Taib Shamsadin Abdulsamad, Abdulbasit K. Faeq Al-Talabani, Akam Aziz Abdulrahman · Procedia Computer Science · 2022
This article proposes a novel ontology design for intelligent controlling of traffic signals, considering the investigated factors, crowded factors, road factors, visibility conditions, and emergency situations. Essentially, the proposed method uses video-based knowledge and key feature from a monocular video camera only, capturing footage from either a traffic signals perspective or the top of the road lane. The key factors and entities in the traffic scene are formed into an ontology, which has been evaluated using synthetic datasets to interpret challenging cases. Semantic features related to the key factors in the scene are obtained and fed to the ontology. The experimental results indicate that the proposed method is capable of controlling traffic signals more efficiently than the fixed intervals protocol.